#docker

Airflow is a powerful platform to automate and manage workflows. There are several options to deploy Airflow on AWS, including MWAA, ECS OR EKS:

  1. Deploying Airflow on AWS Managed Workflow for Apache Airflow (MWAA): This option provides a fully managed service for Apache Airflow and is a good choice for those who want a quick and easy way to get started with Airflow on AWS.

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To quickly launch spark and kafka for local development, docker would be the top choice as of its flexibily and isolated environment. This save lot of time for manually installing bunch of packages as well as conflicting issues.

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Code-Server

Along with the widely cloud adoption, integrated development environment (IDE) on browser is a need to boot developers’ productivity. People can collaboratively view, edit and commit on any devices with internet accessed browser. Additionally, you’re no longer worry about setting up your local development config. You can consider Cloud9 (AWS) or paid service like codeanywhere.

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